diff --git a/core/execution/input_handler.py b/core/execution/input_handler.py
index 66ef6d0f7..b9aab44f3 100644
--- a/core/execution/input_handler.py
+++ b/core/execution/input_handler.py
@@ -450,6 +450,8 @@ def _grounding_ocr(target_text: str, anchor_bbox: Optional[Dict] = None) -> Opti
     - Si anchor_bbox fourni → le plus proche de la position originale
     - Sinon → le plus proche du centre de l'écran (zone contenu)
     """
+    logger.warning(f"[OCR-V2] Entrée _grounding_ocr target='{target_text}' bbox={anchor_bbox}")
+    import sys; sys.stdout.write(f"   [OCR-V2] target='{target_text}' bbox={anchor_bbox}\n"); sys.stdout.flush()
     if not target_text:
         return None
 
diff --git a/visual_workflow_builder/backend/app.py b/visual_workflow_builder/backend/app.py
index 4f025c764..8284af059 100644
--- a/visual_workflow_builder/backend/app.py
+++ b/visual_workflow_builder/backend/app.py
@@ -417,6 +417,13 @@ except ImportError as e:
 except Exception as e:
     print(f"❌ Erreur lors de l'initialisation des services visuels: {e}")
 
+# Pré-charger les modèles pour éviter la latence au premier appel
+try:
+    from services.ocr_service import preload as ocr_preload
+    ocr_preload()
+except Exception as e:
+    print(f"⚠️ Pré-chargement OCR échoué: {e}")
+
 if __name__ == '__main__':
     port = int(os.getenv('PORT', 5002))
     # Désactivation du mode debug pour stabiliser le laboratoire
diff --git a/visual_workflow_builder/backend/services/ocr_service.py b/visual_workflow_builder/backend/services/ocr_service.py
index a6cd397a4..bc1812d8d 100644
--- a/visual_workflow_builder/backend/services/ocr_service.py
+++ b/visual_workflow_builder/backend/services/ocr_service.py
@@ -9,7 +9,7 @@ from typing import List, Optional
 import numpy as np
 from PIL import Image
 
-# Singleton paresseux
+# Singleton — chargé une seule fois
 _predictor = None
 
 
@@ -28,6 +28,15 @@ def _get_predictor():
     return _predictor
 
 
+def preload():
+    """Pré-charge le modèle OCR au démarrage."""
+    try:
+        _get_predictor()
+        print("✅ [OCR] docTR pré-chargé")
+    except Exception as e:
+        print(f"⚠️ [OCR] Pré-chargement échoué: {e}")
+
+
 def ocr_extract_text(image: Image.Image) -> str:
     """Extrait le texte brut d'une image PIL.